Joel Niklaus

According to our database, Joel Niklaus authored at least 20 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Towards Explainability and Fairness in Swiss Judgement Prediction: Benchmarking on a Multilingual Dataset.

T. Y. S. S. Santosh, Nina Baumgartner, Matthias Stürmer, Matthias Grabmair, Joel Niklaus

CoRR, 2024

LegalLens: Leveraging LLMs for Legal Violation Identification in Unstructured Text.

Dor Bernsohn, Gil Semo, Yaron Vazana, Gila Hayat, Ben Hagag, Joel Niklaus, Rohit Saha, Kyryl Truskovskyi

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Automatic Anonymization of Swiss Federal Supreme Court Rulings.

Joel Niklaus, Robin Mamié, Matthias Stürmer, Daniel Brunner, Marcel Gygli

CoRR, 2023

Resolving Legalese: A Multilingual Exploration of Negation Scope Resolution in Legal Documents.

Ramona Christen, Anastassia Shaitarova, Matthias Stürmer, Joel Niklaus

CoRR, 2023

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya Narayana, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li

CoRR, 2023

Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models.

Alex Nyffenegger, Matthias Stürmer, Joel Niklaus

CoRR, 2023

SCALE: Scaling up the Complexity for Advanced Language Model Evaluation.

Vishvaksenan Rasiah, Ronja Stern, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho, Joel Niklaus

CoRR, 2023

MultiLegalPile: A 689GB Multilingual Legal Corpus.

Joel Niklaus, Veton Matoshi, Matthias Stürmer, Ilias Chalkidis, Daniel E. Ho

CoRR, 2023

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain.

Joel Niklaus, Veton Matoshi, Pooja Rani, Andrea Galassi, Matthias Stürmer, Ilias Chalkidis

CoRR, 2023

Can we Pretrain a SotA Legal Language Model on a Budget From Scratch?

Joel Niklaus, Daniele Giofré

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models.

Neel Guha, Julian Nyarko, Daniel E. Ho, Christopher Ré, Adam Chilton, Aditya K, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MultiLegalSBD: A Multilingual Legal Sentence Boundary Detection Dataset.

Tobias Brugger, Matthias Stürmer, Joel Niklaus

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

LEXTREME: A Multi-Lingual and Multi-Task Benchmark for the Legal Domain.

Joel Niklaus, Veton Matoshi, Pooja Rani, Andrea Galassi, Matthias Stürmer, Ilias Chalkidis

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

BudgetLongformer: Can we Cheaply Pretrain a SotA Legal Language Model From Scratch?

Joel Niklaus, Daniele Giofré

CoRR, 2022

An Empirical Study on Cross-X Transfer for Legal Judgment Prediction.

Joel Niklaus, Matthias Stürmer, Ilias Chalkidis

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

ClassActionPrediction: A Challenging Benchmark for Legal Judgment Prediction of Class Action Cases in the US.

Gil Semo, Dor Bernsohn, Ben Hagag, Gila Hayat, Joel Niklaus

Proceedings of the Natural Legal Language Processing Workshop, 2022

2021

Swiss-Judgment-Prediction: A Multilingual Legal Judgment Prediction Benchmark.

Joel Niklaus, Ilias Chalkidis, Matthias Stürmer

Proceedings of the Natural Legal Language Processing Workshop 2021, 2021

2020

Challenging Human Supremacy: Evaluating Monte Carlo Tree Search and Deep Learning for the Trick Taking Card Game Jass.

Joel Niklaus, Michele Alberti, Rolf Ingold, Markus Stolze, Thomas Koller

Proceedings of the Artificial Intelligence and Soft Computing, 2020

2019

Survey of Artificial Intelligence for Card Games and Its Application to the Swiss Game Jass.

Joel Niklaus, Michele Alberti, Vinaychandran Pondenkandath, Rolf Ingold, Marcus Liwicki

Proceedings of the 6th Swiss Conference on Data Science, 2019

2018

Machine Learning-Based Real-Time Indoor Landmark Localization.

Zhongliang Zhao, Jose Luis Carrera, Joel Niklaus, Torsten Braun

Proceedings of the Wired/Wireless Internet Communications, 2018